summary.stls-class: Class "summary.stls"

In truncSP: Semi-parametric estimators of truncated regression models

Description

Documentation on S4 class "summary.stls"

Objects from the Class

Objects from the class are usually obtained by a calling summary on an object of class "stls".

Slots

level:

Object of class "numeric" the level of confidence for confidence intervals

confint:

Object of class "matrix" confidence intervals for regression coefficients

bootconfint:

Object of class "matrix" bootstrap confidence intervals for regression coefficients

call:

Object of class "call" the function call

coefficients:

Object of class "matrix" the estimated coefficients from fitting a model for truncated regression using the Quadratic Mode Estimator (QME)

startcoef:

Object of class "matrix" the starting coefficients used when fitting the model

value:

Object of class "numeric" the value of the objective function corresponding to coefficients

counts:

Object of class "integer" number of iterations until convergence

convergence:

Object of class "integer" indicating whether convergence was achieved

message:

Object of class "character" a character string giving any additional information returned by the optimizer

residuals:

Object of class "matrix" the residuals of the model

fitted.values:

Object of class "matrix" the fitted values

df.residual:

Object of class "integer" the residual degrees of freedom

covariance:

Object of class "matrix" the estimated covariance matrix

bootrepl:

Object of class "matrix" bootstrap replicates used to estimate the covariance matrix

Extends

Class "stls", directly.

Methods

print

signature(x = "summary.stls"): print method

Author(s)

Anita Lindmark and Maria Karlsson

See Also

Function stls and class "stls"

Examples

showClass("summary.stls")

truncSP documentation built on May 1, 2019, 8:46 p.m.